System.out.println("REQUEST 1 (new connection)");
try (Response response = client.newCall(request).execute()) {
  // Consume and discard the response body.
  response.body().source().readByteString();
}

System.out.println("REQUEST 2 (pooled connection)");
try (Response response = client.newCall(request).execute()) {
  // Consume and discard the response body.
  response.body().source().readByteString();
}
```

    try (Response response = client.newCall(request).execute()) {
      // Consume and discard the response body.
      response.body().source().readByteString();
    }

    System.out.println("REQUEST 2 (pooled connection)");
    try (Response response = client.newCall(request).execute()) {
      // Consume and discard the response body.
      response.body().source().readByteString();
    }
  }

    // If we raced another call connecting to this host, coalesce the connections. This makes for
    // 3 different lookups in the connection pool!
    val pooled3 = routePlanner.planReusePooledConnection(this, routes)
    if (pooled3 != null) return pooled3.connection

    connection.withLock {
      connectionPool.put(connection)
      user.acquireConnectionNoEvents(connection)
    }

            "input": "plumbus"
        }
    ]
}
```

## Resumen

Puedes usar **modelos de Pydantic** para declarar **parámetros query** en **FastAPI**. 😎

/// tip | Consejo

Alerta de spoiler: también puedes usar modelos de Pydantic para declarar cookies y headers, pero leerás sobre eso más adelante en el tutorial. 🤫

## TODO

- Richer progress UI is not present at the moment, this will be addressed in subsequent releases. Currently however a RATE of data transfer and usage increase is displayed via `mc`.
- Transitioned Hot Tier's as pooled setups are not currently supported, attempting to decommission buckets with ILM Transition will be rejected by the server. This will be supported in future releases.

            "input": "plumbus"
        }
    ]
}
```

## Summary { #summary }

You can use **Pydantic models** to declare **query parameters** in **FastAPI**. 😎

/// tip

Spoiler alert: you can also use Pydantic models to declare cookies and headers, but you will read about that later in the tutorial. 🤫

  /**
   * Returns a fluent iterable that combines two iterables. The returned iterable has an iterator
   * that traverses the elements in {@code a}, followed by the elements in {@code b}. The source
   * iterators are not polled until necessary.
   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#concat}.

  /**
   * Returns a fluent iterable that combines two iterables. The returned iterable has an iterator
   * that traverses the elements in {@code a}, followed by the elements in {@code b}. The source
   * iterators are not polled until necessary.
   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#concat}.

## Retrying Requests

Sometimes connections fail: either a pooled connection was stale and disconnected, or the webserver itself couldn’t be reached. OkHttp will retry the request with a different route if one is available.

## [Calls](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-call/)

            "input": "plumbus"
        }
    ]
}
```

## Resumo

Você pode utilizar **modelos Pydantic** para declarar **parâmetros de consulta** no **FastAPI**. 😎

/// tip | Dica

Alerta de spoiler: você também pode utilizar modelos Pydantic para declarar cookies e cabeçalhos, mas você irá ler sobre isso mais a frente no tutorial. 🤫